Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
Influenza Other Respir Viruses. 2014 Jul;8(4):482-92. doi: 10.1111/irv.12248. Epub 2014 Apr 11.
Seasonality of any infectious disease is important for its control and monitoring. While influenza seasonality in people has been evaluated extensively, this question has not been studied well in swine populations.
The goal of this study was to investigate seasonality of influenza in swine, using diagnostic submissions to a diagnostic laboratory.
Two thousand seven hundred and eleven virological tests within 685 submissions and 5471 serological tests within 193 submissions in Ontario swine between 2007 and 2012 were included in the study and converted to total monthly number of virological and serological submissions, and the number of positive submissions. Data were analyzed by time-series decomposition, fixed-effect Poisson, random-effect Poisson regression with month as uncorrelated and correlated random effects.
All approaches identified seasonality in virological submissions (P < 0.02) with peak in January and April, and a trough in July, but were not able to detect seasonality of influenza-positive virological submissions (P > 0.13). Seasonality of positive serological submissions was identified only if independence between months was assumed (P < 0.03). Almost 50% of serological submissions had evidence of exposure to H3N2 and H1N1.
Thus, this study identified evidence of seasonality in influenza-like disease in swine herds, but not in circulation of influenza virus. Evidence of seasonality in exposure to influenza was dependent on assumptions of between-month correlation. High exposure to H3N2 and H1N1 subtypes warrants more detailed investigation of within-herd influenza virus circulation. The study provides initial insight into seasonality of influenza in swine and should be followed with herd-level studies.
任何传染病的季节性对于其控制和监测都很重要。虽然人们对流感的季节性进行了广泛的评估,但在猪群中对这一问题的研究还不够深入。
本研究旨在通过对一个诊断实验室的诊断送检,调查猪流感的季节性。
2007 年至 2012 年期间,安大略省的 685 份送检样本中有 2711 份为病毒学检测,193 份送检样本中有 5471 份为血清学检测,本研究纳入了这两项检测数据,转换为每月病毒学和血清学送检总数和阳性送检数。采用时间序列分解、固定效应泊松、随机效应泊松回归分析方法,将月份作为无相关和相关随机效应进行分析。
所有方法均识别出病毒学送检的季节性(P < 0.02),呈 1 月和 4 月高峰,7 月低谷,但未能检测到流感阳性病毒学送检的季节性(P > 0.13)。仅在假设月份之间独立的情况下,才能检测到阳性血清学送检的季节性(P < 0.03)。近 50%的血清学送检有接触 H3N2 和 H1N1 的证据。
因此,本研究在猪群中发现了流感样疾病的季节性证据,但未发现流感病毒的流行。接触流感的季节性证据取决于对月份间相关性的假设。H3N2 和 H1N1 亚型的高暴露率需要更详细地调查猪群内的流感病毒循环情况。本研究初步探讨了猪流感的季节性,应进一步开展群体水平的研究。